Divyansh|Dec 6, 2023
IIT Madras, Texas Instruments India invite applications for MS Programme
IIT Madras and Texas Instrument India offer a Master of Science programme in analog mixed-signal (AMS) and RF VLSI design.
New Delhi: Indian Institute of Technology (IIT) Madras and Texas Instruments India(TI) is calling for applications for the TII-IIT Madras MS programme, a statement from the institute said.
The programme is a blended one in analog, mixed-signal (AMS) and RF VLSI design. It provides a one-year classroom learning coupled with a two-year internship with Texas Instruments.
The candidate should have a bachelor’s degree in electronics, telecommunications, instrumentation or allied disciplines in engineering with an aggregate of 65 percent. They should have a Graduate Aptitude Test in Engineering (GATE) score of 650 or more in electronics and communication, electrical engineering.
BTech students from the IITs with a cumulative grade point average (CGPA) of 8 or higher do not need to qualify the GATE. The last date for submitting an application is April 30, 2021.
About the programme
The Master in Science programme teaches its students an understanding of analog and mixed-signal VLSI in theory and practice. The students are made to focus on real-time industry level problem statements.
“The TII-IITM program has proved to be a much-coveted launchpad for analog talent in the country. It benefits immensely from the more than fifty-year tradition of analog excellence at IIT Madras, as well as the opportunity for cutting-edge industrial work at TI India”, said Nagendra Krishnapura, prof. Dept of electrical engineering, IIT Madras
Further, the TII-sponsored programme provides students with a competitive stipend during their internship.
Shubhra Bhandari, director, human resource, Texas Instruments, India, said, “Individuals who complete this program are equipped with a solid understanding of analog design and are able to take that knowledge to the forefront of innovation. It helps them solve complex design problems ranging from applications in electric vehicles, automated factories, intelligent homes, connected cars to health care devices .”
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